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2020 – today
- 2024
[c45]Angela M. Zavaleta Bernuy
, Naaz Sibia, Pan Chen, Jessica Jia-Ni Xu, Elexandra Tran, Runlong Ye, Viktoria Pammer-Schindler, Andrew Petersen, Joseph Jay Williams, Michael Liut:
Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. Conference on Designing Interactive Systems 2024- [c44]Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams:
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CHI 2024: 15:1-15:18 - [c43]Mohi Reza, Nathan M. Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams:
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CHI 2024: 1042:1-1042:18 - [c42]Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut:
Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases. COMPSAC 2024: 121-126 - [c41]Naaz Sibia, Angela M. Zavaleta Bernuy, Elexandra Tran, Jessica Jia-Ni Xu, Joseph Jay Williams, Andrew Petersen, Michael Liut:
Exploring Self-Explanations in a Flipped Database Course. DataEd@SIGMOD 2024 - [c40]Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. CSEDM@EDM 2024 - [c39]Naaz Sibia, Angela M. Zavaleta Bernuy, Tiana V. Simovic, Chloe Huang, Yinyue Tan, Eunchae Seong, Carolina Nobre, Daniel Zingaro, Michael Liut, Andrew Petersen:
Exploring the Effects of Grouping by Programming Experience in Q&A Forums. ICER (1) 2024: 206-221 - [c38]Suqing Liu, Zezhu Yu, Feiran Huang, Yousef Bulbulia, Andreas Bergen, Michael Liut:
Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science? ITiCSE (1) 2024 - [c37]Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young:
Curriculum Analysis for Data Systems Education. ITiCSE (2) 2024 - [c36]Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N. Rafferty, John C. Stamper, Michael Liut:
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S 2024: 86-97 - [c35]Michael Liut, Anna Ly, Jessica Jia-Ni Xu, Justice Banson, Paul Vrbik, Caroline D. Hardin:
"I Didn't Know": Examining Student Understanding of Academic Dishonesty in Computer Science. SIGCSE (1) 2024: 757-763 - [c34]Naaz Sibia, Giang Bui, Bingcheng Wang, Yinyue Tan, Angela M. Zavaleta Bernuy, Christina Bauer, Joseph Jay Williams, Michael Liut, Andrew Petersen:
Examining Intention to Major in Computer Science: Perceived Potential and Challenges. SIGCSE (1) 2024: 1237-1243 - [c33]Angela M. Zavaleta Bernuy, Runlong Ye, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, Michael Liut:
Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. SIGCSE (1) 2024: 1477-1483 - [c32]Giang Bui, Nicholas Susanto, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen:
Do Hints Enhance Learning in Programming Exercises? Exploring Students' Problem-Solving and Interactions. SIGCSE (2) 2024: 1578-1579 - [c31]Monica M. McGill, Sarah Heckman, Michael Liut, Ismaila Temitayo Sanusi, Claudia Szabo:
Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All. SIGCSE (2) 2024: 1871-1872 - [c30]Daphne Miedema, Sourav S. Bhowmick, Michael Liut:
Third International Workshop on Data Systems Education (DataEd'24). SIGMOD Conference Companion 2024: 659-660 - [c29]Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams:
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. WCCCE 2024: 4:1-4:7 - [c28]Angela M. Zavaleta Bernuy, Andrew Chung, Alana Hodge, Ayesha Tayyiba, Michael Liut, Andrew Petersen:
Student Transitions Through an Entire Computing Program. WCCCE 2024: 5:1-5:7 - [e1]Daphne Miedema, Sourav S. Bhowmick, Michael Liut:
Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, DataEd 2024, Santiago, Chile, June 9-15, 2024. ACM 2024 [contents] - [i11]Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N. Rafferty, John C. Stamper, Michael Liut:
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR abs/2406.07571 (2024) - [i10]Harsh Kumar, Mohi Reza, Jeb Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut:
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries. CoRR abs/2408.08401 (2024) - [i9]Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, Syed Ishtiaque Ahmed, David C. Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, Joseph Jay Williams:
"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. CoRR abs/2409.16732 (2024) - 2023
- [c27]Mohi Reza, Ilya Musabirov, Nathan Laundry, Michael Liut, Joseph Jay Williams:
Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. EduCHI 2023: 43-48 - [c26]Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou:
MSMI1: Towards a Validated SQL Misconceptions Instrument. ICER (2) 2023: 16-17 - [c25]Monica M. McGill, Sarah Heckman, Christos Chytas, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Conducting Sound, Equity-Enabling Computing Education Research. ITiCSE-WGR 2023: 30-56 - [c24]Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew K. Petersen:
Student Usage of Q&A Forums: Signs of Discomfort? ITiCSE (1) 2023: 33-39 - [c23]Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Sadia Sharmin, Lisa Zhang, Andrew Petersen:
"I Am Not Enough": Impostor Phenomenon Experiences of University Students. ITiCSE (1) 2023: 313-319 - [c22]Monica M. McGill, Sarah Heckman, Christos Chytas, Lien Diaz, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research. ITiCSE (2) 2023: 565-566 - [c21]Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, Michael Liut:
VoiceEx: Voice Submission System for Interventions in Education. ITiCSE (2) 2023: 585-586 - [c20]Angela M. Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, Michael Liut:
Self-Explanation Modality: Effects on Student Performance? ITiCSE (2) 2023: 641 - [c19]Daphne Miedema, Michael Liut, George H. L. Fletcher, Efthimia Aivaloglou:
"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions. Koli Calling 2023: 10:1-10:12 - [c18]Angela M. Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams:
Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. Koli Calling 2023: 13:1-13:12 - [c17]Giang Bui, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen:
Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2. SIGCSE (1) 2023: 889-895 - [c16]Joseph Jay Williams, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut:
Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. SIGCSE (2) 2023: 1179 - [c15]Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. SIGCSE (2) 2023: 1279 - [c14]Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams:
Investigating Subject Lines Length on Students' Email Open Rates. SIGCSE (2) 2023: 1363 - [i8]Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew Petersen:
Student Usage of Q&A Forums: Signs of Discomfort? CoRR abs/2305.18717 (2023) - [i7]Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut:
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases. CoRR abs/2307.07411 (2023) - [i6]Mohi Reza, Nathan Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams:
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CoRR abs/2310.00117 (2023) - [i5]Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams:
Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. CoRR abs/2310.12324 (2023) - [i4]Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Anastasia Kuzminykh, Joseph Jay Williams, Michael Liut:
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. CoRR abs/2310.13712 (2023) - [i3]Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams:
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CoRR abs/2312.13581 (2023) - 2022
- [j3]Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema:
Report on the First International Workshop on Data Systems Education (DataEd '22). SIGMOD Rec. 51(4): 49-53 (2022) - [c13]Naaz Sibia, Michael Liut:
The Positive Effects of using Reflective Prompts in a Database Course. DataEd@SIGMOD 2022: 32-37 - [c12]Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin, Lisa Zhang:
Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing. SIGCSE (1) 2022: 654-660 - [c11]Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
Investigating the Impact of Voice Response Options in Surveys. SIGCSE (2) 2022: 1124 - [i2]Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut:
Deep Camera Pose Regression Using Pseudo-LiDAR. CoRR abs/2203.00080 (2022) - [i1]Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams:
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR abs/2208.05090 (2022) - 2021
- [j2]Jack Parkinson, Ryan Bockmon, Quintin I. Cutts, Michael Liut, Andrew Petersen, Sheryl A. Sorby:
Practice report: six studies of spatial skills training in introductory computer science. Inroads 12(4): 18-29 (2021) - [c10]Ali Raza, Lazar Lolic, Shahmir Akhter, Michael Liut:
Comparing and Evaluating Indoor Positioning Techniques. IPIN 2021: 1-8 - [c9]Anna Ly, Jack Parkinson, Quintin I. Cutts, Michael Liut, Andrew Petersen:
Spatial Skills and Demographic Factors in CS1. Koli Calling 2021: 4:1-4:10 - [c8]Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut, Carlos Aníbal Suárez:
Building a Better SQL Automarker for Database Courses. Koli Calling 2021: 37:1-37:3 - [c7]Larry Yueli Zhang, Andrew K. Petersen, Michael Liut, Bogdan Simion, Furkan Alaca:
A Multi-Course Report on the Experience of Unplanned Online Exams. SIGCSE 2021: 17-23 - [c6]Anna Ly, John Edwards, Michael Liut, Andrew Petersen:
Revisiting Syntax Exercises in CS1. SIGITE 2021: 9-14 - [c5]Frantisek Franek, Michael Liut:
Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited. Stringology 2021: 41-52 - 2020
- [j1]Frantisek Franek, Michael Liut:
Computing Maximal Lyndon Substrings of a String. Algorithms 13(11): 294 (2020) - [c4]Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley:
Choosing Code Segments to Exclude from Code Similarity Detection. ITiCSE-WGR 2020: 1-19 - [c3]Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley:
Selection of Code Segments for Exclusion from Code Similarity Detection. ITiCSE 2020: 500-501
2010 – 2019
- 2019
- [c2]Frantisek Franek, Michael Liut:
Algorithms to Compute the Lyndon Array Revisited. Stringology 2019: 16-28 - 2018
- [c1]Frantisek Franek, Michael Liut, William F. Smyth:
On Baier's Sort of Maximal Lyndon Substrings. Stringology 2018: 63-78
Coauthor Index
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last updated on 2024-10-31 20:16 CET by the dblp team
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